Content area
This study adopted the Latent Dirichlet Allocation (LDA) to extract learners' needs based on 70,145 reviews from online course designed for software design and development in China and then applied Quality Function Deployment (QFD) to map learners' differentiated needs into quality attributes. Taking national first-class courses as the benchmarking object to identify the key quality attributes expected from massive open online courses (MOOCs), the findings reveal that course video, exercise, teaching schedule, and presentation of course material are pivotal factors in the enhancement of online course quality. Among these, presentation of course material and teaching schedule are identified as priority factors of quality improvement, whereas course video and exercise are recognized as supplementary factors. The findings of this research provide effective guidance for MOOC educators to improve course quality.
Details
Literature Reviews;
Educational Research;
Course Selection (Students);
Educational Objectives;
Online Courses;
Instructional Design;
MOOCs;
Course Content;
Distance Education;
Influence of Technology;
Learning Processes;
Educational Technology;
Periodicals;
Instructional Materials;
Educational Change;
Correlation;
Electronic Learning;
Expectation;
Computer Software Reviews;
Total Quality Management;
Lifelong Learning;
College Science;
Design Requirements
Standards;
Quality management;
Students;
Science;
Data mining;
Distance learning;
Instructional design;
Quality improvement;
Online instruction;
Attributes;
Quality function deployment;
Education;
Internet;
Teachers;
Educational activities;
Deployment;
Feedback;
Research methodology;
Curriculum development;
Video recordings;
Quality of service;
Literature reviews;
Schedules
1 Jiangxi University of Science and Technology, China